No-code predictive modeling
Use AutoML to automate data preprocessing, algorithm selection, parameter tuning and evaluation when building predictive models.
Build predictive models, generative AI chatbots and data-preparation workflows on a no-code AI platform.
Emly Labs provides a no-code platform for generative and predictive AI projects. Prepare and clean data, build predictive models with AutoML, or create a generative AI chatbot. The platform also supports team collaboration, project workflows and model review.
AutoML handles preprocessing, algorithm selection, parameter tuning and model evaluation. Data preparation uses a spreadsheet-like interface, while model interpretability and scrutiny help teams examine model behavior. Choose a plan for the features, user access and compute budget you need, and validate model outputs before deployment.
Use AutoML to automate data preprocessing, algorithm selection, parameter tuning and evaluation when building predictive models.
Clean, prepare and enrich datasets through a spreadsheet-like workflow. Higher plans add data pipelines and automatic insights.
Build chat experiences, including retrieval-augmented generation that uses datasets or documents as context. Available features depend on the selected plan.
Organize AI project workflows, collaborate with teammates and review model behavior through interpretability and scrutiny tools.
The custom Enterprise offer includes fine-tuning, governance and auditing, custom AI workflows and on-premises deployment.
Clean and select the relevant parts of a dataset before training, matching the training-data size to the selected plan.
Use AutoML to compare modeling approaches without hand-coding the entire pipeline, then review the model and its results before relying on predictions.
Use generative AI and retrieval workflows to build a chatbot around relevant documents or datasets, checking the responses against the source material.
The advertised trial lasts 21 days and requires no credit card. Emly Labs states that its software has no permanent free tier. A separate $0 learner account offers a hands-on course.
Starter is $99 per month with one user and 7,500 monthly Compute Credits. Essential is $399 per month with five users, and Professional is $999 per month with 20 users. Enterprise pricing and configuration are custom.
Credits measure cloud computing resources consumed by the platform. Plans include different monthly credit budgets; the comparison lists add-on Credits at $5 per 1,000 for the three standard plans.
The platform is designed for no-code data preparation, AutoML and generative AI work. You still need suitable data, clear project goals and review of model behavior and generated responses.
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